English(EN) Cheapest LLM APIs per 1M tokens (Oct 2026): 20 models compared, plus free tiers

最便宜的大语言模型API：OpenAI的GPT-5 nano在成本比较中领先

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-24 17:05

对2026年10月20款大语言模型API的比较显示，价格差异显著，其中OpenAI的GPT-5 nano输入和输出token总计每100万个仅需0.45美元，是最便宜的。研究强调，输出token比输入token贵得多，并且一些模型提供的入门级或非高峰时段定价会极大地影响其成本效益。几款Google Gemini模型提供免费套餐，为特定用例提供了节省成本的选择。 AI

影响为开发者选择大语言模型API提供了成本基准，突出了显著的价格差异和免费套餐的可用性。

排序理由大语言模型API定价和功能比较。[lever_c_demoted from research: ic=1 ai=1.0]

在 dev.to — LLM tag 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 43 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 大语言模型API定价和功能比较。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: product, infra; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

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dev.to — LLM tag TIER_1 English(EN) · FreeTier · 2026-10-24 17:05

Cheapest LLM APIs per 1M tokens (Oct 2026): 20 models compared, plus free tiers

Disclosure: I wrote this with help from AI tools and checked every number against our own data files, which link each provider page. The PDF, the API and the directory are my own products; the API and the dataset are paid. All prices below are standard list pri…

本文如何被排名

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Cheapest LLM APIs per 1M tokens (Oct 2026): 20 models compared, plus free tiers

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